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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
> (tag cloud) >tag_selected: mitigation
The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Chapter 4 The Economy and Education
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
1 Introduction 2 Related Work 3 Study Methodology 5 Evaluation of Ethical Principle Implementations 8 Conclusion
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
3 Methodology
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
1 Introduction 3 The ESR Process 4 Deployment and Evaluation 5 Discussion
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
3 Practical Challengesof Ethical AI References
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 3: Current trends 2020-2023
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
1 Introduction
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
8. Ethics and Trust Lenses in the Multilevel Framework
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
References
Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act / 2308.02041 / on (web) Publishing site
1 Introduction
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Introduction
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
A Methodology
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
References
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
5 Falsification and Evaluation
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
Abstract 1 Introduction 2 Related works 3 Targeted data augmentation 4 Experiments 5 Conclusions References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
4 Enhancing User Experience through Creative AI Tools
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
6 Discussion
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
4 Integrating red teaming, blue teaming, and ethics with violet teaming 10 Supplemental & additional details References
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site